Triple

T7406007
Position Surface form Disambiguated ID Type / Status
Subject Lima Puluh Kota Regency E170871 entity
Predicate formerCapital P3417 FINISHED
Object Payakumbuh E127834 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Payakumbuh | Statement: [Lima Puluh Kota Regency, formerCapital, Payakumbuh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Payakumbuh
Context triple: [Lima Puluh Kota Regency, formerCapital, Payakumbuh]
  • A. Payakumbuh chosen
    Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
  • B. Parepare
    Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
  • C. Pagar Alam
    Pagar Alam is a highland city in southern Sumatra, Indonesia, known for its cool climate, tea plantations, and scenic mountain landscapes near Mount Dempo.
  • D. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • E. Padang
    Padang is a major coastal city in western Indonesia known as the capital of West Sumatra and a cultural and culinary center of the Minangkabau people.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f275c6e481908b4ce9ff1e418296 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.